23+ Data modeling Jobs in Pune | Data modeling Job openings in Pune

Responsibilities:

•Design and implement ETL pipelines using Python.

•Build dashboards and visualization tools using React.

•Manage large datasets and ensure data quality.

•Collaborate with analysts and data scientists for insights.

•Optimize data workflows for scalability.

Skills:

•Strong Python skills (Pandas, NumPy, PySpark).

•Experience with React.js for visualization.

•Knowledge of SQL and data warehousing concepts.

•Familiarity with cloud data platforms (Snowflake, AWS, Azure).

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

Tech Stack: Power BI, DAX, SQL, Microsoft Fabric

The Role

You are the bridge between raw data and business decisions.You will be responsible for taking processed data and transforming it into high-performance, scalable semantic models. Your goal is to ensure that the data is structured so perfectly that building a report becomes the easiest part of the job.

Key Responsibilities

• Semantic Architecture: Design and build Star Schemas that serve as the single source of truth.
• Gold Layer Ownership: Transform Silver-layer tables into business-ready dimensions and facts.
• Advanced DAX: Write clean, optimized DAX for complex business logic (not just basic sums).
• Visual Storytelling: Build intuitive Power BI reports that focus on clarity and actionable insights.
• Performance Tuning: Optimize models for fast load times, query folding, and efficient refreshes.
• Stakeholder Sync: Work with clients to define KPIs and ensure the model actually answers their questions.

What We’re Looking For

• Modeling DNA: You think in Star Schemas and understand why a flat table is a bad idea for Power BI.
• DAX Proficiency: Deep understanding of Filter vs. Row context and time-intelligence functions.
• SQL Fluency: You can write complex queries to validate your models against the source data.
• Visual Logic: You have a sharp eye for UI/UX—no cluttered dashboards or "chart junk."
• Fabric Familiarity: Experience with (or a strong desire to learn) the Microsoft Fabric ecosystem.

Why Work With Us?

• Microsoft Partner Edge: Hands-on with the latest Fabric and Power BI features before they go mainstream.
• Flat Hierarchy
• Technical Autonomy: You own the Gold layer architecture; you set the modeling standards.
• High-Stakes Projects: Solve real data problems for enterprise clients in Healthcare and Government.
• Career Growth: Structured learning paths to master the wider Azure Data & AI stack.
• Competitive Pay
• Flexible Hours

The Role

We are looking for a Azure Data Architect to join our team in Pune. You will be responsible for the end-to-end lifecycle of data solutions, from initial client requirement gathering and solution architecture design to leading the data engineering team through implementation. You will be the technical anchor for the project, ensuring that our data estates are scalable, governed, and high-performing.

Key Responsibilities

• Architecture & Design: Design robust data architectures using Microsoft Fabric and Azure Synapse, focusing on Medallion architecture and metadata-driven frameworks.
• End-to-End Delivery: Translate complex client business requirements into technical roadmaps and lead the team to deliver them on time.
• Data Governance: Implement and manage enterprise-grade governance, data discovery, and lineage using Microsoft Purview.
• Team Leadership: Act as the technical lead for the team, performing code reviews, mentoring junior engineers, and ensuring best practices in PySpark and SQL.
• Client Management: Interface directly with stakeholders to define project scope and provide technical consultancy.

What We’re Looking For

• 6+ Years in Data Engineering with at least 3+ years leading technical teams or designing architectures.
• Expertise in Microsoft Fabric/Synapse: Deep experience with Lakehouses, Warehouses, and Spark-based processing.
• Governance Specialist: Proven experience implementing Microsoft Purview for data cataloging, sensitivity labeling, and lineage.
• Technical Breadth: Strong proficiency in PySpark, SQL, and Data Factory. Familiarity with Infrastructure as Code (Bicep/Terraform) is a major plus.

Why Work with Us?

• Competitive Pay
• Flexible Hours
• Work on Microsoft’s latest (Fabric, Purview, Foundry) as a Designated Solutions Partner.
• High-Stakes Impact: Solve complex, client-facing problems for enterprise leaders
• Structured learning paths to help you master AI automation and Agentic AI.

ROLES AND RESPONSIBILITIES:

We are seeking a skilled Data Engineer who can work independently on data pipeline development, troubleshooting, and optimisation tasks. The ideal candidate will have strong SQL skills, hands-on experience with Databricks, and familiarity with cloud platforms such as AWS and Azure. You will be responsible for building and maintaining reliable data workflows, supporting analytical teams, and ensuring high-quality, secure, and accessible data across the organisation.

KEY RESPONSIBILITIES:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build, optimise, and troubleshoot SQL queries, transformations, and Databricks data processes.
• Work with large datasets to deliver efficient, reliable, and high-performing data solutions.
• Collaborate closely with analysts, data scientists, and business teams to support data requirements.
• Ensure data quality, availability, and security across systems and workflows.
• Monitor pipeline performance, diagnose issues, and implement improvements.
• Contribute to documentation, standards, and best practices for data engineering processes.

IDEAL CANDIDATE:

• Proven experience as a Data Engineer or in a similar data-focused role (3+ years).
• Strong SQL skills with experience writing and optimising complex queries.
• Hands-on experience with Databricks for data engineering tasks.
• Experience with cloud platforms such as AWS and Azure.
• Understanding of ETL/ELT concepts, data modelling, and pipeline orchestration.
• Familiarity with Power BI and data integration with BI tools.
• Strong analytical and troubleshooting skills, with the ability to work independently.
• Experience working end-to-end on data engineering workflows and solutions.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

Strong Data engineer profile

Mandatory (Experience 1): Must have 2+ years of hands-on Data Engineering experience.

Mandatory (Experience 2): Must have end-to-end experience in building & maintaining ETL/ELT pipelines (not just BI/reporting).

Mandatory (Technical 1): Must have strong SQL capability (complex queries + optimization).

Mandatory (Technical 2): Must have hands-on Databricks experience.

Mandatory (Role Requirement): Must be able to work independently, troubleshoot data issues, and manage large datasets.

Job Title: Lead Data Engineer

📍 Location: Pune

🧾 Experience: 10+ Years

💰 Budget: Up to 1.7 LPM

Responsibilities

• Collaborate with Data & ETL teams to review, optimize, and scale data architectures within Snowflake.
• Design, develop, and maintain efficient ETL/ELT pipelines and robust data models.
• Optimize SQL queries for performance and cost efficiency.
• Ensure data quality, reliability, and security across pipelines and datasets.
• Implement Snowflake best practices for performance, scaling, and governance.
• Participate in code reviews, knowledge sharing, and mentoring within the data engineering team.
• Support BI and analytics initiatives by enabling high-quality, well-modeled datasets.

Exp: 10+ Years

CTC: 1.7 LPM

Location: Pune

SnowFlake Expertise Profile

Should hold 10 + years of experience with strong skills with core understanding of cloud data warehouse principles and extensive experience in designing, building, optimizing, and maintaining robust and scalable data solutions on the Snowflake platform.

Possesses a strong background in data modelling, ETL/ELT, SQL development, performance tuning, scaling, monitoring and security handling.

Responsibilities:

* Collaboration with Data and ETL team to review code, understand current architecture and help improve it based on Snowflake offerings and experience

* Review and implement best practices to design, develop, maintain, scale, efficiently monitor data pipelines and data models on the Snowflake platform for

ETL or BI.

* Optimize complex SQL queries for data extraction, transformation, and loading within Snowflake.

* Ensure data quality, integrity, and security within the Snowflake environment.

* Participate in code reviews and contribute to the team's development standards.

Education:

* Bachelor’s degree in computer science, Data Science, Information Technology, or anything equivalent.

* Relevant Snowflake certifications are a plus (e.g., Snowflake certified Pro / Architecture / Advanced).

Involved in capex,modelling, Budgeting,investment decision making

Should be able to converse well with global stakeholders

O&G, Metals and mining heavy manufacturing Preferred

Others - not a frequent job hopper

Margin optimization -holistic understanding of the O&G P&L (not limited to 1-2 line items only)

Job Title : Data Engineer – Snowflake Expert

Location : Pune (Onsite)

Experience : 10+ Years

Employment Type : Contractual

Mandatory Skills : Snowflake, Advanced SQL, ETL/ELT (Snowpipe, Tasks, Streams), Data Modeling, Performance Tuning, Python, Cloud (preferably Azure), Security & Data Governance.

Job Summary :

We are seeking a seasoned Data Engineer with deep expertise in Snowflake to design, build, and maintain scalable data solutions.

The ideal candidate will have a strong background in data modeling, ETL/ELT, SQL optimization, and cloud data warehousing principles, with a passion for leveraging Snowflake to drive business insights.

Responsibilities :

• Collaborate with data teams to optimize and enhance data pipelines and models on Snowflake.
• Design and implement scalable ELT pipelines with performance and cost-efficiency in mind.
• Ensure high data quality, security, and adherence to governance frameworks.
• Conduct code reviews and align development with best practices.

Qualifications :

• Bachelor’s in Computer Science, Data Science, IT, or related field.
• Snowflake certifications (Pro/Architect) preferred.

We are seeking a highly skilled and experienced Power BI Lead / Architect to join our growing team. The ideal candidate will have a strong understanding of data warehousing, data modeling, and business intelligence best practices. This role will be responsible for leading the design, development, and implementation of complex Power BI solutions that provide actionable insights to key stakeholders across the organization.

Location - Pune (Hybrid 3 days)

Responsibilities:

Lead the design, development, and implementation of complex Power BI dashboards, reports, and visualizations.

Develop and maintain data models (star schema, snowflake schema) for optimal data analysis and reporting.

Perform data analysis, data cleansing, and data transformation using SQL and other ETL tools.

Collaborate with business stakeholders to understand their data needs and translate them into effective and insightful reports.

Develop and maintain data pipelines and ETL processes to ensure data accuracy and consistency.

Troubleshoot and resolve technical issues related to Power BI dashboards and reports.

Provide technical guidance and mentorship to junior team members.

Stay abreast of the latest trends and technologies in the Power BI ecosystem.

Ensure data security, governance, and compliance with industry best practices.

Contribute to the development and improvement of the organization's data and analytics strategy.

May lead and mentor a team of junior Power BI developers.

Qualifications:

8-12 years of experience in Business Intelligence and Data Analytics.

Proven expertise in Power BI development, including DAX, advanced data modeling techniques.

Strong SQL skills, including writing complex queries, stored procedures, and views.

Experience with ETL/ELT processes and tools.

Experience with data warehousing concepts and methodologies.

Excellent analytical, problem-solving, and communication skills.

Strong teamwork and collaboration skills.

Ability to work independently and proactively.

Bachelor's degree in Computer Science, Information Systems, or a related field preferred.

Responsibilities:

• Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
• Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
• Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
• Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
• Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
• Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
• Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
• Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
• Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
• Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience as an AWS Architect or similar role, with a focus on database technologies.
• Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
• In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
• Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
• Strong understanding of database concepts, data modelling, indexing, and query optimization.
• Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
• Excellent problem-solving skills and the ability to troubleshoot complex database issues.
• Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.

What’s in it for you?

Opportunity To Unlock Your Creativity

Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career

At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Opportunity To Unlock Your Creativity

Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Impact In This Role

Excellent problem solving, decision-making and critical thinking skills.

Collaborative, a team player.

Excellent verbal and written communication skills.

Exhibits initiative, integrity and empathy.

Enjoy working with a diverse group of people in multiple regions.

Comfortable not knowing answers, but resourceful and able to resolve issues.

Self-starter; comfortable with ambiguity, asking questions and constantly learning.

Customer service mentality; advocates for another person's point of view.

Methodical and thorough in written documentation and communication.

Culture oriented; wants to work with people rather than in isolation.

You will report to the Director of IT Engineering

What You’ll Be Doing

• Interface with Business Analysts and Stakeholders to understand & clarify requirements
• Develop technical design for solutions Development
• Implement high quality, scalable solutions following best practices, including configuration and code.
• Deploy solutions and code using automated deployment tools
• Take ownership of technical deliverables, ensure that quality work is completed, fully tested, delivered on time.
• Conduct code reviews, optimization, and refactoring to minimize technical debt within Salesforce implementations.
• Collaborate with cross-functional teams to integrate Salesforce with other systems and platforms, ensuring seamless data flow and system interoperability.
• Identify opportunities for process improvements, mentor and support other developers/team members as needed.
• Stay updated on new Salesforce features and functionalities and provide recommendations for process improvements.

Desired Traits

• 8-10 years of experience in Salesforce development
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Have worked in Salesforce CPQ, Sales/Manufacturing Cloud, Case Management
• Experienced in designing and implementing custom solutions that align with business needs.
• Strong knowledge of Salesforce data modeling, reporting, and database design.
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
• Strong unit testing, functional testing and debugging skills
• Strong understanding of best practices
• Active Salesforce Certifications are desirable.
• Experience in Mulesoft is a plus
• Excellent communication skills and the ability to translate complex technical requirements into actionable solutions.

Interested in learning more? We look forward to hearing from you soon.

As an engineer, you will help with the implementation, and launch of many key product features. You will get an opportunity to work on a wide range of technologies (including Spring, AWS Elastic Search, Lambda, ECS, Redis, Spark, Kafka etc.) and apply new technologies for solving problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with skilled and motivated engineers who are already contributing to building high-scale and high-available systems.

If you are looking for an opportunity to work on leading technologies and would like to build product technology that can cater millions of customers inclined towards providing them the best experience, and relish large ownership and diverse technologies, join our team today!

What You'll Do:

• Creating detailed design, working on development and performing code reviews.
• Implementing validation and support activities in line with architecture requirements
• Help the team translate the business requirements into R&D tasks and manage the roadmap of the R&D tasks.
• Designing, building, and implementation of the product; participating in requirements elicitation, validation of architecture, creation and review of high and low level design, assigning and reviewing tasks for product implementation.
• Work closely with product managers, UX designers and end users and integrating software components into a fully functional system
• Ownership of product/feature end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.

The ideal candidate is a passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end.

What You'll Need:

• A Bachelor's degree in Computer Science or related technical discipline.
• 2-3+ years of Software Development experience with proficiency in Java or equivalent object-oriented languages, coupled with design and SOA
• Fluency with Java, and Spring is good.
• Experience in JEE applications and frameworks like struts, spring, mybatis, maven, gradle
• Strong knowledge of Data Structures, Algorithms and CS fundamentals.
• Experience in at least one shell scripting language, SQL, SQL Server, PostgreSQL and data modeling skills
• Excellent analytical and reasoning skills
• Ability to learn new domains and deliver output
• Hands on Experience with the core AWS services
• Experience working with CI/CD tools (Jenkins, Spinnaker, Nexus, GitLab, TeamCity, GoCD, etc.)

• Expertise in at least one of the following:

    - Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology

    - Distributed cache/in memory data grids like Redis, Hazelcast, Ignite, or Memcached

    - Distributed column store databases like Snowflake, Cassandra, or HBase

    - Spark, Flink, Beam, or equivalent streaming data processing frameworks

• Proficient with writing and reviewing Python and other object-oriented language(s) are a plus
• Experience building automations and CICD pipelines (integration, testing, deployment)
• Experience with Kubernetes would be a plus.
• Good understanding of working with distributed teams using Agile: Scrum, Kanban
• Strong interpersonal skills as well as excellent written and verbal communication skills

• Attention to detail and quality, and the ability to work well in and across teams

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

Company Profile:

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

Salary: As per company standards.

Designation: Data Engineering

Location: Pune

Experience with ETL, Data Modeling, and Data Architecture

Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

Experience with AWS cloud data lake for development of real-time or near real-time use cases

Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing

Build data pipeline frameworks to automate high-volume and real-time data delivery

Create prototypes and proof-of-concepts for iterative development.

Experience with NoSQL databases, such as DynamoDB, MongoDB etc

Create and maintain optimal data pipeline architecture,

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.

Employment Type

Full-time

 Sr. Java Software Engineer:

Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
• Well-versed in and 5+ years of hands-on designing experience in Object Oriented Design, Data Modeling, Class & Object Modeling, Microservices Architecture & Design.
• Well-versed in and 5+ years of hands-on programming experience in Core Java Programming, Advanced Java Programming, Spring Framework, Spring Boot or Micronaut Framework, Log Framework, Build & Deployment Framework, etc

. • 3+ years of hands-on experience developing Domain-Driven Microservices using libraries & frameworks such as Micronaut, Spring Boot, etc.

• 3+ years of hands-on experience developing connector frameworks Apache Camel, Akka framework, etc.
• 3+ years of hands-on experience in RBDMS & NoSQL Databases concepts and development practices (PostgreSQL, MongoDB, Elasticsearch, Amazon S3).
• 3+ years of hands-on experience developing Webservices using REST, API Gateway using Token based authentication, access management.
• 1+ years of hands-on experience developing and hosting microservices using Serverless and Container based development (AWS Lambda, Docker, Kubernetes, etc.).
• Having Knowledge & hands-on experience developing applications using Behavior Driven Development, Test Driven Development Methodologies is a Plus.
• Having Knowledge & hands-on experience in AWS Cloud Services such as IAM, Lambda, EC2, ECS, ECR, API Gateway, S3, SQS, Kinesis, CloudWatch, DynamoDB, etc. is also a Plus.
• Having Knowledge & hands-on experience in DevOps CI/CD tools such as JIRA, Git (Bitbucket/GitHub), Artifactory, etc. & Build tools such as Maven & Gradle.
• 2+ years of hands-on development experience in Java centric Developer Tools, Management & Governance, Networking and Content Delivery, Security, Identity, and Compliance, etc.
• Having Knowledge & hands-on experience in Apache Nifi, Apache Spark, Apache Flink is also a Plus. • Having Knowledge & handson experience in Python, NodeJS, Scala Programming is also a Plus. Required Experience: 5+ Years

Job Location: Remote / Pune

Open Positions: 1

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

We at Datametica Solutions Private Limited are looking for an SQL Lead / Architect who has a passion for the cloud with knowledge of different on-premises and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike.

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description :

Experience: 6+ Years

Work Location: Pune / Hyderabad

Technical Skills :

• Good programming experience as an Oracle PL/SQL, MySQL, and SQL Server Developer
• Knowledge of database performance tuning techniques
• Rich experience in a database development
• Experience in Designing and Implementation Business Applications using the Oracle Relational Database Management System
• Experience in developing complex database objects like Stored Procedures, Functions, Packages and Triggers using SQL and PL/SQL
•  

Required Candidate Profile :

• Excellent communication, interpersonal, analytical skills and strong ability to drive teams
• Analyzes data requirements and data dictionary for moderate to complex projects • Leads data model related analysis discussions while collaborating with Application Development teams, Business Analysts, and Data Analysts during joint requirements analysis sessions
• Translate business requirements into technical specifications with an emphasis on highly available and scalable global solutions
• Stakeholder management and client engagement skills
• Strong communication skills (written and verbal)

About Us!

A global leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle Data warehouse Assessment & Migration Planning Product

Raven Automated Workload Conversion Product

Pelican Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live, and learn new things. We believe in building a culture of innovation, growth, and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com